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Data science/ML/AI

Data science/ML/AI

前往频道在 Telegram

Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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📈 Telegram 频道 Data science/ML/AI 的分析概览

频道 Data science/ML/AI (@datascience_bds) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 13 905 名订阅者,在 技术与应用 类别中位列第 8 911,并在 印度 地区排名第 28 819

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 13 905 名订阅者。

根据 30 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 90,过去 24 小时变化为 7,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 7.35%。内容发布后 24 小时内通常能获得 2.05% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 022 次浏览,首日通常累积 285 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 5
  • 主题关注点: 内容集中在 panda, learning, row, api, ethic 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...

凭借高频更新(最新数据采集于 31 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

13 905
订阅者
+724 小时
+17
+9030
帖子存档
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import_data.pdf1.35 KB

Useful Python for data science cheat sheets

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Data Science and Machine Learning [PDF] Mathematical and Statistical Methods Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre,
Data Science and Machine Learning [PDF] Mathematical and Statistical Methods Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman 8th May 2022 533 pages 🔗 Read online

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Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estima
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different types of data and different problems. The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data. Source: Scikit-learn

Data Science Projects.pdf2.96 KB

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